Sentence examples for and the ancillary data from inspiring English sources

"Once lost, physical specimens (i.e., historic biological samples) and the ancillary data associated with them can never be regained".

Level 1a data is produced in the FITS format by combining the Level 0 image data and the ancillary data, which are stored in the header of the HDU of the FITS file.

Level-1a (L1a) image data are produced in the FITS format by combining the Level-0 (L0) image data and the ancillary data, some of which are stored in the header of the HDU Header Data Unitt) of the L1a FITS file, e.g., observation-program ID, exposure time, filter name, housekeeping data, and observational information such as time indicators (TIs).

To test, we compared difference maps grouped by elevation and slope categories (noted in section on the ancillary data in the method above).

The ancillary data including observation date, instrument name, and filter name are stored in the header of the HDU of the L1b FITS file.

Many factors such as tap water use and bathing habits could be considered when determining exposure to volatile chemicals in domestic water supplies, but our analysis suggests that the use of such ancillary data does not always result in an improvement in exposure accuracy if the ancillary data are inaccurate or if they have little effect on an individual's exposure level.

Based on the error and the relationship to the in situ and ancillary data sets, the EcoDistrict or ObShp3 scale appears to provide the lowest error in calculating the SMA baseline.

Table 1 summarizes the standard and ancillary data products of the four imaging cameras.

While the central findings in the paper (localization, role in olfactory learning) are solid, the way the paper is structured, the numerous ancillary data sets and the unfocused discussion tend to distract from what could be a strong message.

The study investigates the performance of image classifiers for landscape-scale land cover mapping and the relevance of ancillary data for the classification success in order to assess and to quantify the importance of these components in image classification.

The quality of global products derived from those sensors depends upon many factors (e.g cloud cover, solar angle, wavelength, etc)., the need for time series, and the availability of ancillary data for validation.